Thank you so much Phil,
I will try that.
Best
On Wed, Dec 10, 2014 at 9:42 PM, Phil Chalmers
wrote:
> As well, the mirt package contains a function for DIF using likelihood
> ratio tests via multiple-group estimation methods (the multiple group
> estimation generally goes beyond simply testing f
As well, the mirt package contains a function for DIF using likelihood
ratio tests via multiple-group estimation methods (the multiple group
estimation generally goes beyond simply testing for DIF), as well Wald
tests if the information matrix was computed. Hope that helps.
Phil
On Wednesday,
Thanks, Achim and Richard,
I will take into consideration your solutions.
Best,
On Tue, Dec 9, 2014 at 11:36 PM, Achim Zeileis
wrote:
> On Tue, 9 Dec 2014, Richard M. Heiberger wrote:
>
> I recommend the likert() function in the HH package.
>>
>> install.packages("HH")
>> library(HH)
>> ?likert
On Tue, 9 Dec 2014, Richard M. Heiberger wrote:
I recommend the likert() function in the HH package.
install.packages("HH")
library(HH)
?likert
I think this only visualizes the polytomous items but provides no formal
inference for IRT modeling and DIF testing.
For fitting polytomous IRT mo
I recommend the likert() function in the HH package.
install.packages("HH")
library(HH)
?likert
On Tue, Dec 9, 2014 at 3:22 AM, munevver kaya wrote:
> Hello,
> I will analyze polytomous differential item functioning for IRT. I have a
> Likert type scale. For example, I want to analyze items in
Hello,
I will analyze polytomous differential item functioning for IRT. I have a
Likert type scale. For example, I want to analyze items in term of gender.
Is lordifsufficient for this or are there any other packages in R
programme?
Best Regards,
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_
Dear useRs,
does any of you have suggestions on how to conduct a proper DIF analysis
starting from a model of
class gpcm (from the wonderful package ltm by prof. Rizopoulos)?
difR will handle only dichotomous items, and I have a mix of dicho- and
polytomous ones (that's why I chose the partial
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